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Markov Queuing Theory Approach to Internet of Things Reliability

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Genetic and Evolutionary Computing (ICGEC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 579))

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Abstract

In today world a new buzzword Internet of Things has been on the news nearly every day. Some researchers are even using Internet of Every Things. Its potentialities and applicability are now on the cutting edge technology. Also, all most all of business, health care, academic institutions are in one way or another, having to deal with the Internet of Things. So the Internet of Things reliability becomes an important factor. In this paper we proposed a Markov Queuing approach to analyze the Internet of Thing reliability. Since queuing theory investigates the delay and availability of functioning things and Markov concepts take the dependency of Things in the Internet, the combination of these two concepts will make the problem clear and soluble. For illustration, we present some experimental results.

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Acknowledgments

This work was supported in part by SCOPE: Strategic Information and Communications R&D Promotion Program (Grant No. 172310006) and JSPS KAKENHI Grant Number 17K08066.

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Correspondence to Thi Thi Zin .

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Zin, T.T., Tin, P., Hama, H. (2018). Markov Queuing Theory Approach to Internet of Things Reliability. In: Lin, JW., Pan, JS., Chu, SC., Chen, CM. (eds) Genetic and Evolutionary Computing. ICGEC 2017. Advances in Intelligent Systems and Computing, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-10-6487-6_20

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  • DOI: https://doi.org/10.1007/978-981-10-6487-6_20

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  • Print ISBN: 978-981-10-6486-9

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